Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	28318
MD5	EB35D4F1A19CA33817ABA951070C8E46
PackageDescription	extension for computing string similarities and edit distances (Python 3) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains Levenshtein for Python 3.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-levenshtein
PackageSection	python
PackageVersion	0.12.0-2+b2
SHA-1	16F6044DCB7D6D82FB8A3457F56D1F70A5FA3142
SHA-256	9159DEAD7B312C0CF21991A5BBE87373C28A4A65DBF6A032D8E8D65A061B4D32

Key	Value
FileSize	109950
MD5	E2D30DDC6A80901EE1F7369D1ACFE790
PackageDescription	extension for computing string similarities and edit distances(py3k debug ext) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python 3 debug interpreter.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-levenshtein-dbg
PackageSection	debug
PackageVersion	0.12.0-2+b2
SHA-1	723115698137CDFC7FBC946E6EE87ADC01AD651F
SHA-256	BD5EBD0C64CD8C238F58BDBF5280A3B99AF95F756093F73EC88DC219AC97E621

Key	Value
FileSize	30988
MD5	B2160FE0E6D21E7C9FEF4EAF284E2EC3
PackageDescription	extension for computing string similarities and edit distances The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-levenshtein
PackageSection	python
PackageVersion	0.12.0-2+b2
SHA-1	72D3866990DFABCC6E3E8EBB3F8542320FFBC167
SHA-256	E46CCA92F3FC82F9904B5FDA386186795EDB15FBD5052298F62CD8FEB87F4810

Key	Value
FileSize	85286
MD5	FD7A95E1CBA69D6A989CCC1C0679E831
PackageDescription	extension for computing string similarities and edit distances(debug extension) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python debug interpreter.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-levenshtein-dbg
PackageSection	debug
PackageVersion	0.12.0-2+b2
SHA-1	79EE1E38F3639D5329695FADE39920C26F42634D
SHA-256	5CA923B19350AC8F09EC11155FF36AC31A5AD6EE665EB9781B24E3246C1717A4